Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Generative AI will transform industries [03:55]• The evolution of Generative AI [10:19]• How will Generative AI impact daily life [16:52]• The ethical challenges of AI [18:55]• How corporations can harness Generative AI for collaboration [24:36]• Industries that will be impacted by Generative AI [32:20]• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]• How Generative AI could unlock 99% of business data [53:34]Additional materials: www.superdatascience.com/777

What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.Additional materials: www.superdatascience.com/776Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How to motivate yourself to become a tech entrepreneur [17:02]• Aleksa’s checklist for the perfect CTO [35:00]• Potential sustainable solutions for LLMs [41:51]• The next major developments in AI and tech [48:29]• How hobbies have a knock-on effect for a person’s career [1:01:53]• How and why formal education needs to change [1:09:24]Additional materials: www.superdatascience.com/775

Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.Additional materials: www.superdatascience.com/774Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Barrett's start in operations logistics [02:27]• Concorde Solver and the traveling salesperson problem [09:59]• Cross-function approximation explained [19:13]• How Markov decision processes relate to deep reinforcement learning [26:08]• Understanding policy in decision-making contexts [33:40]• Revolutionizing supply chains and transportation with aerial drones [46:47]• Barrett’s career evolution: past changes and future prospects [52:19]Additional materials: www.superdatascience.com/773

Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about decision trees [09:28]• All about ensemble models [22:03]• All about AdaBoost [38:46]• All about gradient boosting [46:51]• Gradient boosting for classification problems [1:01:26]• All about XGBoost, LightGBM and CatBoost [1:04:12]Additional materials: www.superdatascience.com/771

Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.Additional materials: www.superdatascience.com/770Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• The inspiration for Zack to get started in ML and healthcare [03:56]• The hardware required to use Abridge [12:29]• The key data science projects at Abridge right now [35:05]• Abridge's tech stack [59:54]• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]Additional materials: www.superdatascience.com/769

Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.Additional materials: www.superdatascience.com/768Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about Machine Learning Q and AI [04:13]• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]• Large language models: Opportunities and challenges [43:35]• DoRA vs LoRA [48:56]• How to be a successful AI educator [1:34:18]Additional materials: www.superdatascience.com/767

Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.Additional materials: www.superdatascience.com/766Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.This episode is brought to you by the DataConnect Conference, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Travis's journey to creating NumPy and SciPy [08:05]• How Anaconda got started [42:24]• How Numba, a high-performance Python compiler, was brought to market [54:48]• Python's influence on the thought processes of scientists and engineers [1:04:21]• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]• How to get involved in Travis's commercial projects and communities [1:22:34]• The future of scientific computing and Python libraries [1:29:50]Additional materials: www.superdatascience.com/765

Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.Additional materials: www.superdatascience.com/764Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.This episode is brought to you by the DataConnect Conference, and by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Potential interest areas for Series A AI venture capitalists [12:22]• How Glasswing’s AI Palette helps AI startups [23:06]• How data driven the venture capital industry is [27:21]• Advice for adopting services from AI providers [47:21]• Model collapse: Causes and concerns [58:44]• Glasswing’s checklist for AI startups [1:04:59]Additional materials: www.superdatascience.com/763

Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.Additional materials: www.superdatascience.com/762Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Google’s Gemini model family and Lisa's key responsibilities [04:55]• How LLMs will transform the practice of Data Science [19:47]• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]• How to fine-tune Gemini models with Google's Vertex AI [30:52]• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]• The challenges of developing a data-centric culture [57:31]• Centralized vs decentralized data science teams [1:03:50]Additional materials: www.superdatascience.com/761

AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.Additional materials: www.superdatascience.com/760Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How decoder-only transformers work [15:51]• How cross-attention works in transformers [41:05]• How encoders and decoders work together (an example) [52:46]• How encoder-only architectures excel at understanding natural language [1:20:34]• The importance of masking during self-attention [1:27:08]Additional materials: www.superdatascience.com/759

Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.Additional materials: www.superdatascience.com/758Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.